Synopses & Reviews
An accessible overview of modern methods applied to the analysis of statistical data from complex surveys. This unified account covers a broad range of approaches, discussing the relative merits of each. Introduces the fundamental ideas, principles, and methods used to analyze complex survey data, and the structure of populations upon which surveys are based, supported by references to available software.
Table of Contents
AGGREGATED ANALYSIS: STANDARD ERRORS AND SIGNIFICANCE TESTS.
Domain Means, Regression and Multi-Variate Analysis (C. Skinner).
Chi-Squared Tests for Contingency Tables (J. Rao & D. Thomas).
Measures of Association for Contingency Tables (E. Molina).
AGGREGATED ANALYSIS: POINT ESTIMATION AND BIAS.
The Effect of Selection of Regression Analysis (G. Nathan & T. Smith).
Multivariate Analysis (T. Smith & D. Holmes).
Selection Based on the Response Variable in Logistic Regression (A. Scott &.
C.
Wild).
DISAGGREGATED ANALYSIS: MODELING STRUCTURED POPULATIONS.
Multilevel and Multivariate Models in Survey Analysis (H. Goldstein & R. Silver).
Regression Models for Stratified Multi-Stage Cluster Samples (D. Pfeffermann & L. LaVange).
Logistic Models for Contingency Tables (D. Holt & P. Ewings).
Conclusion.
References.
Author Index.
Subject Index.